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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2017, Vol. 18 Issue (2): 151-162    DOI: 10.1631/jzus.A1500284
Articles     
Characteristics and origins of a typical heavy haze episode in Baotou, China: implications for the spatial distribution of industrial sources
Bi-xin Chen, Si Wang, Wei-dong Yang, Ren-chang Yan, Xuan Chen, Qing-yu Zhang
Department of Environmental Engineering, Zhejiang University, Hangzhou 310058, China; Research Center for Air Pollution and Health, College of Environmental and Natural Resources, Zhejiang University, Hangzhou 310058, China; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
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Abstract  Air pollution has become the predominant environmental problem caused by rapid industrialization and urbanization in China. In this study, measurements of the concentrations of PM2.5, PM10, SO2, NO2, CO, and O3 at six monitoring stations in Baotou, China were used to investigate the characteristics of heavy haze pollution in Dec. 12–25, 2013. Source locations of PM2.5 in Baotou were identified using satellite remote sensing data, an air mass trajectory model, and a conditional probability function (CPF). The results showed that the average concentrations of PM2.5 and PM10 were (113.8±84.0) μg/m3 and (211.1±149.2) μg/m3, respectively. The similar trends in temporal variation of the air pollutants PM2.5, PM10, SO2, NO2, and CO suggested they may share common sources. The results of satellite observations and backward trajectories supported the hypothesis that the pollutants causing the haze event originated mainly from local anthropogenic sources. According to the CPF analysis, low-speed winds from the south and southwest, upwind industrial emissions, and the northern mountains were mainly responsible for the formation of haze in Baotou. The study provides some insights to help governments optimize industrial layouts for improving air quality in the future.

Key words： Air pollution      Haze      Industrial sources      Backward trajectory      Conditional probability function (CPF)     
Received: 21 October 2015      Published: 24 January 2017
CLC:  X511  
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Bi-xin Chen
Si Wang
Wei-dong Yang
Ren-chang Yan
Xuan Chen
Qing-yu Zhang
Cite this article:

Bi-xin Chen, Si Wang, Wei-dong Yang, Ren-chang Yan, Xuan Chen, Qing-yu Zhang. Characteristics and origins of a typical heavy haze episode in Baotou, China: implications for the spatial distribution of industrial sources. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2017, 18(2): 151-162.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.A1500284     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2017/V18/I2/151

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